Evidence map›Paper›PMID 36189147›Full record

ArticleJournal of immunology research2022

Integrated Bioinformatics and Validation of lncRNA-Mediated ceRNA Network in Myocardial Ischemia/Reperfusion Injury.

Ying Han, Gong Jin, Min Pan, Zhoufei Fang, Dan Lu, Wenqin Cai, Changsheng Xu

Abstract read
In one paragraph

Article in Journal of immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. In-depth analysis of retinal RNA transcriptome sequencing in a rat model of hypertensive retinopathy.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Noncoding RNAs as Key Regulators for Cardiac Development and Cardiovascular Diseases.Journal of cardiovascular development and disease · 2023
    Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ying HanDepartment of Geriatrics, Hypertension Department, Fujian Hypertension Research Institute, Clinical Research Center for Geriatric Hypertension Disease of Fujian Province, Branch of National Clinical Research Center for Aging and Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.ORCID https://orcid.org/0000-0002-1791-6870
Gong JinDepartment of Geriatrics, Hypertension Department, Fujian Hypertension Research Institute, Clinical Research Center for Geriatric Hypertension Disease of Fujian Province, Branch of National Clinical Research Center for Aging and Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Min PanDepartment of Geriatrics, Hypertension Department, Fujian Hypertension Research Institute, Clinical Research Center for Geriatric Hypertension Disease of Fujian Province, Branch of National Clinical Research Center for Aging and Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Zhoufei FangDepartment of Geriatrics, Hypertension Department, Fujian Hypertension Research Institute, Clinical Research Center for Geriatric Hypertension Disease of Fujian Province, Branch of National Clinical Research Center for Aging and Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Dan LuDepartment of General Practice, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Wenqin CaiDepartment of Geriatrics, Hypertension Department, Fujian Hypertension Research Institute, Clinical Research Center for Geriatric Hypertension Disease of Fujian Province, Branch of National Clinical Research Center for Aging and Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Changsheng XuFujian Hypertension Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.ORCID https://orcid.org/0000-0003-2554-0639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myocardial ischemia/reperfusion (MI/R) injury is a common pathology in ischemia heart disease. Long noncoding RNAs (lncRNAs) are significant regulators related to many ischemia/reperfusion conditions. This study is aimed at exploring the molecule mechanism of lncRNA-mediated competing endogenous RNA (ceRNA) network in MI/R. Methods: The dataset profiles of MI/R and normal tissues (GSE130217 and GSE124176) were obtained from the GEO database. Integrated bioinformatics were performed to screen out differentially expressed genes (DEGs). Thereafter, an lncRNA-mediated ceRNA network was constructed by the starBase database. The GO annotations and KEGG pathway analysis were conducted to study action mechanism and related pathways of DEGs in MI/R. A model of hypoxia/reoxygenation- (H/R-) treated HL-1 cell was performed to verify the expression of lncRNAs through qRT-PCR. Results: 2406 differentially expressed- (DE-) mRNAs, 70 DE-lncRNAs, and 156 DE-miRNAs were acquired. These DEGs were conducted to construct an lncRNA-mediated ceRNA network, and a subnetwork including lncRNA Xist/miRNA-133c/mRNA (Slc30a9) was screen out. The functional enrichment analyses revealed that the lncRNAs involved in the ceRNA network might functions in oxidative stress and calcium signaling pathway. The lncRNA Xist expression is reduced under H/R conditions, followed by the increased level of miRNA-133c, thus downregulating the expression of Slc30a9. Conclusion: In sum, the identified ceRNA network which included the lncRNA Xist/miR-133c/Slc30a9 axis might contribute a better understanding to the pathogenesis and development of MI/R injury and offer a novel targeted therapy way.

Indexed as

MicroRNAsMyocardial Reperfusion InjuryRNA, Long NoncodingComputational BiologyGene Regulatory NetworksHumansRNA, MessengerMicroRNAsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID36189147
PMCPMC9519285

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.